Troubleshooting large, distributed training jobs can be time consuming, cumbersome and ultimately costly. GPU Monitoring now provides agentically powered root cause analysis and workload insights that analyze your entire AI stack – from hardware, network interconnectivity, host-level and app-level metrics like MFU. So you can quickly pinpoint the root cause of stalling or failed workloads and reduce TTR to make the most of every GPU hour.